利用分析为大流行后的弹性战略提供信息

Susanna Aguilar, Daniel Kushner, Jim Ortega, Aleksi Paaso, J. Ratner, J. Schlegelmilch
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引用次数: 0

摘要

从2019冠状病毒病大流行中汲取的宝贵经验包括,分析在提高电网弹性方面的作用,以减轻高影响、低概率事件,包括气候变化带来的未来大流行和恶劣天气事件。新的见解为使用弹性指标而不是传统的可靠性指标来指导旨在加强电网的投资提供了理由。这些数据还强调了外部利益相关者(包括监管机构和公众)在确定优先事项方面的作用日益重要,因为我们将响应能力日益增强的电网与日益动态的风险环境相匹配。虽然2019冠状病毒病大流行对公用事业运营和电网的影响与天气相关事件的典型影响存在关键差异,但对天气相关事件更具弹性的电网也能在大流行期间提供弹性。大流行后恢复正常的时间尚不清楚,但公用事业公司可以利用当前经济衰退后的经济复苏,在分析工具、模型和指标的支持下,建立一个更具弹性和可持续性的电网,实现动态电网运营和投资,以应对眼前和长期风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Analytics to Inform Post-Pandemic Resiliency Strategy
Utility learnings from the COVID-19 pandemic include valuable lessons about the role of analytics in increasing grid resilience to mitigate high impact, low probability events, including future pandemics and severe weather events brought on by climate change. New insights make a case for using resiliency metrics instead of traditional reliability metrics to direct investments designed to harden the grid. The data also underscores the growing importance of the role of external stakeholders including regulators and the general public in setting priorities as we match the capabilities of an increasingly responsive grid to an increasingly dynamic risk environment. While there are key differences between the impact of the COVID-19 pandemic on utility operations and the grid versus the typical impact of weather-related events, a grid that is more resilient to weather-related events also provides resilience during a pandemic. The timeline to a post-pandemic normal is still unknown, but utilities can leverage the economic recovery that will follow the current economic recession to build a more resilient and sustainable grid with the support of analytic tools, models and metrics that enable dynamic grid operations and investment that address immediate and longer term risks.
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